Title :
Multi objective comparison of GA and LP techniques for generator reactive power optimization
Author :
Rayudu, K. ; Jayalaxmi, A. ; Yesuratnam, G. ; Kumar, Y. Dileep
Author_Institution :
Electr. & Electron. Eng. Dept., Padmasri B V Raju Inst. of Technol., Medak, India
Abstract :
Optimization of Generator output tends to increase the supply capability of generators at different voltage disturbances. The Genetic Algorithm (GA) approach is used in this paper to optimize the effect on the generator reactive power. The three control parameters used are: Generator voltages, Switchable VAR Compensators (SVC) and On Load Transformer tap Changers (OLTC). The proposed technique is tested with IEEE-24 bus system. A case study is done on all optimization variables (control parameters) and effect on generator reactive power output is analyzed. The results are compared with conventional Linear Programming (LP) Technique. The comparison clearly says GA approach performs better in optimization of generator VAR output requirement and also increases voltage stability by loss reduction.
Keywords :
IEEE standards; genetic algorithms; linear programming; on load tap changers; reactive power; static VAr compensators; GA technique; IEEE- 24 bus system; LP technique; OLTC; SVC; generator reactive power optimization; linear programming technique; loss reduction; multi objective comparison; on load transformer tap changers; switchable VAr compensator; voltage stability; Generators; Genetic algorithms; Linear programming; Optimization; Power system stability; Reactive power; Stability analysis; Generator Reactive power; Genetic algorithm; Natural selection; Optimization; Power loss; Voltage stability;
Conference_Titel :
Power India Conference, 2012 IEEE Fifth
Conference_Location :
Murthal
Print_ISBN :
978-1-4673-0763-5
DOI :
10.1109/PowerI.2012.6479585
